{"id":"https://openalex.org/W4378942292","doi":"https://doi.org/10.1145/3539618.3591884","title":"Towards Explainable Conversational Recommender Systems","display_name":"Towards Explainable Conversational Recommender Systems","publication_year":2023,"publication_date":"2023-07-18","ids":{"openalex":"https://openalex.org/W4378942292","doi":"https://doi.org/10.1145/3539618.3591884"},"language":"en","primary_location":{"id":"doi:10.1145/3539618.3591884","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3591884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2305.18363","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101700253","display_name":"Shuyu Guo","orcid":"https://orcid.org/0009-0001-8596-9747"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyu Guo","raw_affiliation_strings":["Shandong University, Qingdao, China"],"raw_orcid":"https://orcid.org/0009-0001-8596-9747","affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450409","display_name":"Shuo Zhang","orcid":"https://orcid.org/0000-0003-3179-4125"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuo Zhang","raw_affiliation_strings":["Bloomberg, London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-3179-4125","affiliations":[{"raw_affiliation_string":"Bloomberg, London, United Kingdom","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662254","display_name":"Weiwei Sun","orcid":"https://orcid.org/0000-0002-4817-9500"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Sun","raw_affiliation_strings":["Shandong University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-4817-9500","affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046700486","display_name":"Pengjie Ren","orcid":"https://orcid.org/0000-0003-2964-6422"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengjie Ren","raw_affiliation_strings":["Shandong University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-2964-6422","affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050947285","display_name":"Zhumin Chen","orcid":"https://orcid.org/0000-0003-4592-4074"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhumin Chen","raw_affiliation_strings":["Shandong University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-4592-4074","affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100384130","display_name":"Zhaochun Ren","orcid":"https://orcid.org/0000-0002-9076-6565"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaochun Ren","raw_affiliation_strings":["Shandong University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-9076-6565","affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.6974,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.98813308,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2786","last_page":"2795"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8459916710853577},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8121322989463806},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.6554861068725586},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6043895483016968},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.5952931046485901},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.571685791015625},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5120568871498108},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4652446508407593},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4588111340999603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43950700759887695},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.41511833667755127},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35632526874542236},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.07340207695960999}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8459916710853577},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8121322989463806},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.6554861068725586},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6043895483016968},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.5952931046485901},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.571685791015625},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5120568871498108},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4652446508407593},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4588111340999603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43950700759887695},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.41511833667755127},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35632526874542236},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.07340207695960999},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3539618.3591884","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3591884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2305.18363","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.18363","pdf_url":"https://arxiv.org/pdf/2305.18363","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2305.18363","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.18363","pdf_url":"https://arxiv.org/pdf/2305.18363","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G394483262","display_name":"\u57fa\u4e8e\u591a\u6e90\u5f02\u6784\u6570\u636e\u878d\u5408\u7684\u53ef\u89e3\u91ca\u6027\u533b\u7597\u5065\u5eb7\u95ee\u7b54\u6280\u672f\u7814\u7a76","funder_award_id":"61972234","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4890194082","display_name":null,"funder_award_id":"2020QNQT017","funder_id":"https://openalex.org/F4320311026","funder_display_name":"Shandong University"},{"id":"https://openalex.org/G69085316","display_name":null,"funder_award_id":"62102234","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8283770779","display_name":null,"funder_award_id":"62272274","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G83507391","display_name":null,"funder_award_id":"62202271","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8672301212","display_name":"\u9762\u5411\u4e3b\u8981\u4f9d\u636e\u9690\u53cd\u9988\u6570\u636e\u7684\u4f1a\u8bdd\u578b\u63a8\u8350\u7cfb\u7edf\u53ca\u529f\u80fd\u589e\u5f3a\u7814\u7a76","funder_award_id":"62072279","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311026","display_name":"Shandong University","ror":"https://ror.org/0207yh398"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4378942292.pdf","grobid_xml":"https://content.openalex.org/works/W4378942292.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1590259464","https://openalex.org/W1604307496","https://openalex.org/W1750205245","https://openalex.org/W2084399600","https://openalex.org/W2096434649","https://openalex.org/W2100171245","https://openalex.org/W2106900236","https://openalex.org/W2116354394","https://openalex.org/W2152184085","https://openalex.org/W2223821166","https://openalex.org/W2337403844","https://openalex.org/W2511352244","https://openalex.org/W2739992143","https://openalex.org/W2798435682","https://openalex.org/W2896838436","https://openalex.org/W2950226029","https://openalex.org/W2950457956","https://openalex.org/W2952215380","https://openalex.org/W2964258748","https://openalex.org/W2970236742","https://openalex.org/W2981852735","https://openalex.org/W2986845484","https://openalex.org/W2988937804","https://openalex.org/W3014901735","https://openalex.org/W3034328025","https://openalex.org/W3034491755","https://openalex.org/W3034522014","https://openalex.org/W3034999214","https://openalex.org/W3035355914","https://openalex.org/W3040127368","https://openalex.org/W3080122044","https://openalex.org/W3101366597","https://openalex.org/W3105787366","https://openalex.org/W3106454043","https://openalex.org/W3113741750","https://openalex.org/W3152502472","https://openalex.org/W3154587251","https://openalex.org/W3156287428","https://openalex.org/W3161391306","https://openalex.org/W3163474636","https://openalex.org/W3165654682","https://openalex.org/W3174681481","https://openalex.org/W3185784178","https://openalex.org/W3195311662","https://openalex.org/W3210519732","https://openalex.org/W4221154563","https://openalex.org/W4284671671","https://openalex.org/W4285171841","https://openalex.org/W4288089799","https://openalex.org/W4292423044","https://openalex.org/W4296604563","https://openalex.org/W4307079201","https://openalex.org/W6714454088"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W4390273403","https://openalex.org/W2380820513","https://openalex.org/W4386781444","https://openalex.org/W2913146933","https://openalex.org/W2745001401","https://openalex.org/W4321353415"],"abstract_inverted_index":{"Explanations":[0],"in":[1,8,47,159],"conventional":[2,59],"recommender":[3,60],"systems":[4,61],"have":[5],"demonstrated":[6],"benefits":[7],"helping":[9],"the":[10,13,16,20,27,56,64,80,84,151,156,160],"user":[11,187],"understand":[12],"rationality":[14],"of":[15,66,82,87],"recommendations":[17,184],"and":[18,24,78,95,102,168],"improving":[19,83],"system's":[21],"efficiency,":[22],"transparency,":[23],"trustworthiness.":[25],"In":[26,172],"conversational":[28],"environment,":[29],"multiple":[30],"contextualized":[31],"explanations":[32],"need":[33],"to":[34,98,128],"be":[35],"generated,":[36],"which":[37],"poses":[38],"further":[39,154],"challenges":[40],"for":[41,183],"explanations.":[42,122],"To":[43,89],"better":[44,179],"measure":[45],"explainability":[46,146],"CRS,":[48],"we":[49,92],"propose":[50],"ten":[51],"evaluation":[52],"perspectives":[53],"based":[54,132,185],"on":[55,133,141,176,186],"concepts":[57],"from":[58],"together":[62],"with":[63,117],"characteristics":[65],"CRS.":[67,88],"We":[68,123],"assess":[69],"five":[70],"existing":[71],"CRS":[72,106],"benchmark":[73],"datasets":[74],"using":[75],"these":[76,100],"metrics":[77],"observe":[79],"necessity":[81],"explanation":[85,130],"quality":[86],"achieve":[90],"this,":[91],"conduct":[93],"manual":[94],"automatic":[96],"approaches":[97,127],"extend":[99],"dialogues":[101,116],"construct":[103],"a":[104],"new":[105],"dataset,":[107],"namely":[108],"Explainable":[109],"Recommendation":[110],"Dialogues":[111],"(E-ReDial).":[112],"It":[113],"includes":[114],"756":[115],"over":[118],"2,000":[119],"high-quality":[120],"rewritten":[121],"compare":[124],"two":[125],"baseline":[126],"perform":[129],"generation":[131],"E-ReDial.":[134],"Experimental":[135],"results":[136],"suggest":[137],"that":[138],"models":[139,152],"trained":[140],"E-ReDial":[142,189],"can":[143,153,164,178],"significantly":[144],"improve":[145,155],"while":[147],"introducing":[148],"knowledge":[149],"into":[150],"performance.":[157],"GPT-3":[158],"in-context":[161],"learning":[162],"setting":[163],"generate":[165,180],"more":[166],"realistic":[167],"diverse":[169],"movie":[170],"descriptions.":[171],"contrast,":[173],"T5":[174],"training":[175],"E-Redial":[177],"clear":[181],"reasons":[182],"preferences.":[188],"is":[190],"available":[191],"at":[192],"https://github.com/Superbooming/E-ReDial.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
